Share Email Print

Proceedings Paper

Adaptive CFAR techniques for signal detection in the Doppler domain
Author(s): Theodore R. Rice; Jeffrey E. Conte
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

There has been increasing interest in the extraction of data from the frequency (doppler) domain for such purposes as target identification and kill assessment. An initial aspect of this process is to determine if there are signals in the doppler domain. There have been a number of techniques developed for signal detection in the time domain including various constant false alarm rate (CFAR) algorithms, but not many techniques have been translated or developed for the frequency domain. One reason for this lack of techniques results from an inability to accurately classify the statistics of the noise found within given regions of interest. Using the central limit theorem and some reasonable assumptions, it has been possible to develop two techniques that can be utilized as adaptive CFAR algorithms in the frequency domain.

Paper Details

Date Published: 7 June 1996
PDF: 12 pages
Proc. SPIE 2739, Acquisition, Tracking, and Pointing X, (7 June 1996); doi: 10.1117/12.241912
Show Author Affiliations
Theodore R. Rice, Naval Surface Warfare Ctr. (United States)
Jeffrey E. Conte, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 2739:
Acquisition, Tracking, and Pointing X
Michael K. Masten; Larry A. Stockum, Editor(s)

© SPIE. Terms of Use
Back to Top